搜索资源列表
backprop
- BP神经网络的c++源代码，基于改进的梯度下降算法实现-BP neural network c++ source code
ANN
- BP神经网络的matlab程序（动量梯度下降算法训练 、贝叶斯正则化算法）-BP neural network matlab program
BpNetp2
- 神经网络实现电力预测，bP神经网络，共轭梯度算法。-Neural network prediction of electricity, bP neural networks, conjugate gradient algorithm.
Steepest
- 计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
gradient_demo.m.tar
- 梯度下降算法实现程序，梯度下降算法实现程序-Gradient descent algorithm procedure
zuisutidu
- 最速梯度下降法-Steepest gradient descent method
BpTRAINING
- 自适应步长BP神经网络训练算法，采用最小误差和梯度下降法更新权值- BP neural network training anaysis， realized by using error feed back, gradient descent applied updating of synaptic weights
improveBPNet
- 改进的BP算法实现程序，以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
梯度下降
- 这是一篇精华文章，详细的说明了深度学习梯度下降算法的思想，并附有程序结果。(This is an essence of the article, detailed descr iption of the depth of learning, gradient descent algorithm ideas, along with program results.)
lrCostFunction
- 输入权值、学习率、输入和输出，就可以计算得到损失值和梯度值(Input weight, learning rate, input and output can be calculated for loss value and gradient value)
梯度
- 神经网络中，基于梯度下降的线性分类器，对样本进行分类(In neural networks, linear classifiers based on gradient descent.)
Desktop
- 梯度下降算法的简单实现，比较基础，用于入门理解梯度下降算法(gd algorithm,basic and easy)
梯度下降求解逻辑回归
- 用梯度下降求解逻辑回归基于python语言的实现(Using gradient descent to solve logistic regression based on Python language)
Python实现逻辑回归与梯度下降策略
- 建立一个逻辑回归模型来预测一个大学生是否被大学录取(Establish a logistic regression model to predict whether a college student will be admitted to a university)
RBF自适应
- 基于梯度下降法RBF自适应神经网络控制(RBF adaptive neural network control based on gradient descent method)
梯度下降法 回溯直线搜索 python代码
- 梯度下降法 回溯直线搜索 python代码 包含回溯直线搜索，以及初始值相同时不同alpha,beta值对下降速度的影响测试 用jupyter notebook打开
强化学习
- 使用强化学习实现策略梯度和和马尔科夫决策过程(Implementing Strategic Gradient Sum and Markov Decision Process with Reinforcement Learning)
gradient_descent
- 梯度下降法python编程实例 附带相关数据文件在data.csv中 这个是油管up主Siraj Raval的课程代码(A demo of gradient descent algorithm. This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube)
梯度下降法
- python编写的梯度下降法，用于深度学习的初步入门